This document discusses the importance and uses of statistics. It provides examples of different types of charts and graphs used to present statistical data, including line graphs showing monthly sales revenue, bar graphs comparing metrics across companies and products, and scatter plots. The document emphasizes that statistics should be thoroughly examined to avoid being misled by data and help inform decision making. It also notes that statistics can help managers by providing facts for performance evaluations, aiding in developing hypotheses, and enhancing decision making abilities through data analysis.

1. Best Stats

2. PROBLEM
• Preconceived notions
• Misleading data is
diverting our focus
• Stats are not
thoroughly looked
upon

4. 4
Stats are very important and
it should always be taken
into consideration while
making a decision

5. How does Data help?
• It helps us in making decisions
easily
• Data provides the base on which
hypothesis can be made.
• Data helps us to predict the
outcome of any situation.
•

7. Examples of Stats lead
research

8. 5%
10%
15%
22%
30%
28%
22%
32%
45%
60%
65%
55%
28%
38%
40%
48%
65% 65%
78%
85% 86% 85%
90%
85%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Sales Revenue
Sales Vs Revenue Prediction

9. 0
2
4
6
8
10
12
14
16
18
20
1 2 3 4 5 6 7 8 9 10 11 12 13
Company 1 Company 2 Company 3 Company 4
Statistical comparison of several
companies

10. 0
1
2
3
4
5
6
7
8
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
$248,678
$345,687
$378,000
$475,654
$412,500
$625,456
$567,000
$789,000
$0 $100,000$200,000$300,000$400,000$500,000$600,000$700,000$800,000$900,000
2013
2014
Product 4
Product 3
Product 2
Product 1
Types of Bar Charts

11. 11
How a manager in
India can benefit from
the current stats?

12. Understanding
Performance
3 important uses for managers:
Predicting the
outcome of a
hypothesis
Decision
M aking Ability

13. • Facts are considered for
promoting an individual.
• Stats must be effectively
utilized for evaluating
our peer’s performance
Understanding
Performance

14. • Hypothesis can only be
developed when facts are
taken into picture.
• Considering all the
possibilities is extremely
important while
predicting/Forecasting.
Predicting the
outcome of a
hypothesis

15. • Stats aid us in making clear
and concise decisions.
• Data Analysis comes in
handy when all the
hypothesis has been
considered while decision
making
Decision Making
Ability

16. 16
Thanks